OpenML
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 54 Supervised Classification hepatitis 834 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.DIE not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.DIE not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.DIE not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.DIE not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.DIE not found among predictions.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.8148, kappa: 0.422, kb_relative_information_score: 55.1627, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8115, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.023, scimark_benchmark: 1918.4916, usercpu_time_millis: 609.375, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.8214, kappa: 0.4611, kb_relative_information_score: 50.3304, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8237, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.9686, scimark_benchmark: 1931.8468, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1670.334, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1742.8208, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.8011, kappa: 0.3966, kb_relative_information_score: 45.2509, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8023, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1048, scimark_benchmark: 1742.8208, usercpu_time_millis: 2781.25, usercpu_time_millis_training: 2781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.828, kappa: 0.4632, kb_relative_information_score: 62.7117, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8252, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4096, root_relative_squared_error: 1.0118, scimark_benchmark: 1377.4309, usercpu_time_millis: 1312.5, usercpu_time_millis_training: 1312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7987, kappa: 0.3653, kb_relative_information_score: 53.316, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.794, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.0124, scimark_benchmark: 1416.417, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 69.0285, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8703, scimark_benchmark: 1291.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.8545, kappa: 0.5458, kb_relative_information_score: 76.6803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8524, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9307, scimark_benchmark: 1259.1758, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.8563, kappa: 0.5566, kb_relative_information_score: 76.6803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.855, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9307, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.8214, kappa: 0.4611, kb_relative_information_score: 51.3345, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8237, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.392, root_relative_squared_error: 0.9685, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 57.0802, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.886, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7923, kappa: 0.3321, kb_relative_information_score: 56.6206, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7868, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9453, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.7923, kappa: 0.3321, kb_relative_information_score: 29.3936, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7868, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9705, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 15.0663, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0133, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.82, kappa: 0.4211, kb_relative_information_score: 39.564, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8175, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.8426, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8374, kappa: 0.5213, kb_relative_information_score: 65.7886, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8783, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7649, kappa: 0.2744, kb_relative_information_score: 14.6616, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7624, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0785, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 69.0285, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8703, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.8545, kappa: 0.5458, kb_relative_information_score: 76.6803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8524, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9307, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.8563, kappa: 0.5566, kb_relative_information_score: 76.6803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.855, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9307, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.8323, kappa: 0.4881, kb_relative_information_score: 58.5704, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8323, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.9359, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 57.0802, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.886, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7923, kappa: 0.3321, kb_relative_information_score: 56.6206, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7868, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9453, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.746, kappa: 0.1869, kb_relative_information_score: 13.144, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7361, predictive_accuracy: 0.7613, prior_entropy: 0.7418, recall: 0.7613, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.0678, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 15.0663, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0133, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8009, kappa: 0.3627, kb_relative_information_score: 40.154, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.796, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8385, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8374, kappa: 0.5213, kb_relative_information_score: 65.7886, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8783, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7649, kappa: 0.2744, kb_relative_information_score: 14.6616, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7624, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0785, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7923, kappa: 0.3321, kb_relative_information_score: 56.6206, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7868, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9453, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.8214, kappa: 0.4611, kb_relative_information_score: 51.3108, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8237, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9729, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8357, kappa: 0.4901, kb_relative_information_score: 62.8156, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8335, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8938, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.7684, kappa: 0.2623, kb_relative_information_score: 19.4921, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.761, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0261, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7988, kappa: 0.3825, kb_relative_information_score: 40.5005, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7977, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.404, root_relative_squared_error: 0.9981, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8374, kappa: 0.5213, kb_relative_information_score: 65.7886, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8783, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7101, kappa: 0.0225, kb_relative_information_score: 2.4258, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7005, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9943, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 69.0285, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8703, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 69.0285, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8703, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 59.6924, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9144, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7755, kappa: 0.3187, kb_relative_information_score: 24.1044, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7768, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0034, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7697, kappa: 0.2317, kb_relative_information_score: 25.33, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7752, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8784, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 46.3844, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.97, scimark_benchmark: 927.2917, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs